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posted on 27 Dec 2024
I applied via Through WhatsApp and was interviewed in Jun 2024. There was 1 interview round.
I applied via Naukri.com and was interviewed in Jan 2022. There were 3 interview rounds.
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I applied via Referral and was interviewed before Dec 2021. There were 2 interview rounds.
p value is a statistical measure that helps determine the significance of a hypothesis test.
p value is the probability of obtaining a result as extreme or more extreme than the observed result, assuming the null hypothesis is true.
A p value of less than 0.05 is considered statistically significant.
Spacy is an open-source software library for advanced natural language processing (NLP).
NLP is a field of study that focuse...
Lambda function is an anonymous function in Python that can take any number of arguments and can only have one expression.
Lambda functions are defined using the keyword 'lambda'.
They are commonly used with built-in functions like filter(), map(), and reduce().
Lambda functions can be used to create small, throwaway functions that are not needed elsewhere in the code.
They are often used to write more concise and readable...
I applied via Company Website and was interviewed in Jun 2024. There were 3 interview rounds.
Use techniques like regularization, feature selection, cross-validation, and data augmentation.
Utilize regularization techniques like Lasso or Ridge regression to prevent overfitting.
Perform feature selection to focus on the most important variables and reduce noise.
Use cross-validation to assess model performance and generalizability.
Consider data augmentation techniques like synthetic data generation or bootstrapping...
I will lead by setting clear goals, providing guidance, fostering collaboration, and recognizing team achievements.
Set clear goals and expectations for the team
Provide guidance and support to team members
Foster collaboration and communication within the team
Recognize and reward team achievements
Lead by example and demonstrate strong work ethic
I applied via Naukri.com and was interviewed in Apr 2023. There were 3 interview rounds.
I applied via LinkedIn and was interviewed in Jul 2024. There was 1 interview round.
Attention focuses on specific parts of input data, while self attention considers relationships within the input data itself.
Attention is used in models like seq2seq for machine translation to focus on relevant parts of the input sequence.
Self attention is used in transformer models to capture dependencies between different words in a sentence.
Attention mechanisms can be either global or local, while self attention is
Handling null values is crucial for data integrity and analysis.
Identify null values in the dataset using functions like isnull() or isna()
Decide on the best strategy to handle null values - imputation, deletion, or flagging
Impute missing values using mean, median, mode, or predictive modeling techniques
Delete rows or columns with a high percentage of missing values if they cannot be imputed
Flag null values to distingu
Handling imbalanced training data is crucial for model performance and accuracy.
Use techniques like oversampling, undersampling, or SMOTE to balance the dataset
Utilize algorithms that are robust to imbalanced data, such as Random Forest or XGBoost
Consider using ensemble methods or cost-sensitive learning to address class imbalance
Text embeddings are numerical representations of text data that capture semantic meaning.
Text embeddings convert words or sentences into numerical vectors.
They are used in natural language processing tasks like sentiment analysis, text classification, and machine translation.
Popular techniques for generating text embeddings include Word2Vec, GloVe, and BERT.
BERT is a bidirectional transformer model for pre-training language representations, while GPT is a generative model.
BERT is a pre-training model that learns contextual representations of words by considering both left and right context.
GPT is a generative model that uses a transformer decoder to generate text based on the context.
BERT is bidirectional, meaning it can understand the context of a word by looking at both...
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